Searched for: subject%3A%22Fletcher%22
(1 - 7 of 7)
document
Yönsel, Yüksel (author)
There has been an increasing interest in moving computation closer to storage in recent years due to significant improvements in memory technology. FPGAs were proven to be an exciting candidate for accelerating database workloads since they provide an energy-efficient, reconfigurable and high-performance computation platform. Therefore, FPGAs...
master thesis 2021
document
Peltenburg, J.W. (author), van Straten, J. (author), Brobbel, M. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
As big data analytics systems are squeezing out the last bits of performance of CPUs and GPUs, the next near-term and widely available alternative industry is considering for higher performance in the data center and cloud is the FPGA accelerator. We discuss several challenges a developer has to face when designing and integrating FPGA...
journal article 2021
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Hadnagy, A. (author)
Recent trends in large-scale computing demonstrate continuous growth in the need for raw processing performance. At the same time, the slowdown of vertical scaling pushes the industry towards more energy-efficient heterogeneous architectures. With the appearance of FPGAs in the cloud and data centers, a new architecture is offered for offloading...
master thesis 2020
document
Nonnenmacher, F.M. (author)
Through new digital business models, the importance of big data analytics continuously grows. Initially, data analytics clusters were mainly bounded by the throughput of network links and the performance of I/O operations. With current hardware development, this has changed, and often the performance of CPUs and memory access became the new...
master thesis 2020
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Aggarwal, S. (author)
Big data applications are becoming more commonplace due to an abundance of digital data and increasingly powerful hardware. One of these classes of hardware devices are FPGAs, which are being used today in various ways such as data centers and embedded systems. High performance, power efficiency, and reprogrammability are the primary reasons...
master thesis 2020
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Wijtemans, Lars (author)
vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory storage format specification, Apache Arrow, FPGAs are increasingly interesting for data processing acceleration in the big data domain. The Fletcher framework can be used to easily develop FPGA accelerated applications that access data stored in...
master thesis 2019
document
Peltenburg, J.W. (author), van Straten, J. (author), Brobbel, M. (author), Hofstee, H.P. (author), Al-Ars, Z. (author)
As a columnar in-memory format, Apache Arrow has seen increased interest from the data analytics community. Fletcher is a framework that generates hardware interfaces based on this format, to be used in FPGA accelerators. This allows efficient integration of FPGA accelerators with various high-level software languages, while providing an easy-to...
conference paper 2019
Searched for: subject%3A%22Fletcher%22
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